As compared to SISR methods, LFSR methods generate better results with more high-frequency details and less artifacts. Specifically, the central images produced by our method are more close to the groundtruth images. For \(2\times \)  SR, as shown in Figs. REF  and REF , LF-InterNet [1]}, ATO [2]} and our method can suppress the artifacts and recover accurate textures due to the utilization of complementary information. For \(4\times \)  SR, as shown in Figs. REF  and REF , some extent of blurring and artifacts are generated by ATO [2]} and LF-DFnet [4]} such as the strips on the wall in Fig. REF  and the letters in Fig. REF . In contrast, our method can produce more faithful results by adaptively capture informative features across different views and channels.
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